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» A DC Programming Approach for Sparse Eigenvalue Problem
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NIPS
2003
15 years 29 days ago
Minimax Embeddings
Spectral methods for nonlinear dimensionality reduction (NLDR) impose a neighborhood graph on point data and compute eigenfunctions of a quadratic form generated from the graph. W...
Matthew Brand
MIC
2003
116views Control Systems» more  MIC 2003»
15 years 29 days ago
On the Linear Quadratic Minimum-fuel Problem
E.I.Verriest and F.L.Lewis have presented in [1] a new method to approach the minimum-time control of linear continous-time systems avoiding the Bang-Bang control. Their method re...
H. Benazza, N. El Alami
ICASSP
2010
IEEE
14 years 11 months ago
Clustering disjoint subspaces via sparse representation
Given a set of data points drawn from multiple low-dimensional linear subspaces of a high-dimensional space, we consider the problem of clustering these points according to the su...
Ehsan Elhamifar, René Vidal
CVPR
2012
IEEE
13 years 2 months ago
Generalized Multiview Analysis: A discriminative latent space
This paper presents a general multi-view feature extraction approach that we call Generalized Multiview Analysis or GMA. GMA has all the desirable properties required for cross-vi...
Abhishek Sharma, Abhishek Kumar, Hal Daumé ...
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JMLR
2006
175views more  JMLR 2006»
14 years 11 months ago
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming
We exploit the biconvex nature of the Euclidean non-negative matrix factorization (NMF) optimization problem to derive optimization schemes based on sequential quadratic and secon...
Matthias Heiler, Christoph Schnörr